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Hidden transition in multiplex networks.
da Costa, R A; Baxter, G J; Dorogovtsev, S N; Mendes, J F F.
Afiliação
  • da Costa RA; Department of Physics & I3N, University of Aveiro, Aveiro, Portugal. americo.costa@ua.pt.
  • Baxter GJ; Department of Physics & I3N, University of Aveiro, Aveiro, Portugal.
  • Dorogovtsev SN; Department of Physics & I3N, University of Aveiro, Aveiro, Portugal.
  • Mendes JFF; Department of Physics & I3N, University of Aveiro, Aveiro, Portugal.
Sci Rep ; 12(1): 3973, 2022 Mar 10.
Article em En | MEDLINE | ID: mdl-35273259
ABSTRACT
Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more layers without unconnected nodes, [Formula see text]. Above a critical value of a control parameter, the removal of a tiny fraction [Formula see text] of nodes or edges triggers a failure cascade which ends either with the total collapse of the network, or a return to stability with the system essentially intact. The discontinuity is not accompanied by any singularity of the giant component, in contrast to the discontinuous hybrid transition which usually appears in such problems. The control parameter is the fraction of nodes in each layer with a single connection, [Formula see text]. We obtain asymptotic expressions for the collapse time and relaxation time, above and below the critical point [Formula see text], respectively. In the limit [Formula see text] the total collapse for [Formula see text] takes a time [Formula see text], while there is an exponential relaxation below [Formula see text] with a relaxation time [Formula see text].

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article